Displaying 4 results from an estimated 4 matches for "dgels".
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dels
2009 Sep 23
2
R + C + Lapack toy regression example
..., i run into an error.
My matrix-lapack-example.c file:
#include <R_ext/Lapack.h>
void reg(const char* trans, const int* m, const int* n,
const int* nrhs, double* a, const int* lda,
double* b, const int* ldb,
double* work, const int* lwork, int* info)
{
F77_CALL(dgels)(trans, m, n, nrhs, a, lda, b, ldb, work, lwork, info);
}
My matrix-lapack-example.R file:
dyn.load( "matrix-lapack-example.so" )
regression <- function( X, Y ){
m <- nrow( X )
n <- ncol( X )
stopifnot( m >= n , is.vector( Y ), n != length( Y ) )
mn <- min( m, n )...
2004 Apr 01
1
Use R function in C code
I want to use R function Matrix inverse in my c code, please tell me how I can.
If there is a sample which can tell me how it works. It will be fantastic.
2007 Oct 16
1
underdetermined system
Hi, sorry, I'm an idiot.. and I know I'm missing something stupid..
I thought if we solve an underdetermine system with QR, my soln is:
min ||x|| (L2 sense) such that Ax = b
then say i have:
> w <- matrix(c(1, 5), ncol=2)
> sw = 2
> qrW = qr(t(w) %*% w)
> qr.coef(qrW, t(w) %*% sw)
[,1]
[1,] 2
[2,] NA
but we also have soln (0, 2/5) which obviously has a
2008 Sep 08
7
Question about multiple regression
Dear R-list,
maybe some of you could point me in the right direction:
Are you aware of any FREE Fortran or Java libraries/actual pieces of
code that are VERY efficient (time-wise) in running the regular linear
least-squares multiple regression?
More specifically, I have to run small regression models (between 1
and 15 predictors) on samples of up to N=700 but thousands and
thousands of them.
I